Research Intern Predictive Algorithms

ZOLL MedicalPittsburgh, PA
17h$35 - $55Hybrid

About The Position

Apply signal processing and machine learning techniques to develop new algorithms for understanding ECG and other medical data. These algorithms improve outcomes and quality of life for our patients. At ZOLL, we're passionate about improving patient outcomes and helping save lives. We provide innovative technologies that make a meaningful difference in people's lives. Our medical devices, software and related services are used worldwide to diagnose and treat patients suffering from serious cardiopulmonary and respiratory conditions. ZOLL Cardiac Management Solutions offers a unique portfolio of novel technologies designed to deliver better insights and better outcomes. On any given day, clinicians utilize these ZOLL products for tens of thousands of cardiac patients around the world: LifeVest , the world's first wearable defibrillator, has been trusted to protect more than 1M patients at risk of sudden cardiac death. HFMS (Heart Failure Management system) is a non-invasive, patch-based device that monitors pulmonary fluid levels and has been shown to reduce heart failure readmissions rates by 38 percent. TherOx Super Saturated Oxygen (SSO2) Therapy is the first FDA-approved therapy since the stent 20+ years ago to reduce infarct size in patients with the most severe heart attacks. Heart disease is the leading cause of death for both men and women in the U.S. At ZOLL, your work will help to ensure cardiac patients get the life-saving therapy they need. ZOLL has been Pittsburgh's Manufacturer of the Year, one of Western PA's Healthiest Employers, and even one of Pittsburgh's Coolest Offices. But it's our unique opportunity to impact people's lives that makes ZOLL the ideal place to build your career. Job Type Hybrid Job Summary Apply signal processing and machine learning techniques to develop new algorithms for understanding ECG and other medical data. These algorithms improve outcomes and quality of life for our patients.

Requirements

  • B.S. Degree, in computer engineering / computer science or related field with an emphasis on digital signal processing and machine learning.
  • Enrollment in an M.S. or Ph.D. degree program that includes training in machine learning theory and application.
  • Typically, some practical experience with machine learning or signal processing in industry or an academic lab.
  • Proficiency with object-oriented and scripting languages, preferably Python.
  • Excellent written and verbal communication skills.

Nice To Haves

  • Exposure to cloud computing and big data analysis.

Responsibilities

  • With direction from permanent staff, conduct applied research on algorithms to detect / predict patient conditions.
  • Study published work to inform research plans.
  • Collaborate with teams of Physicians, Software Engineers, Data Scientists, and Machine Learning Specialists, to understand needs, develop plans, and execute research projects.
  • Participate in the development of system architectures for training, testing, and deploying machine learning models.
  • Manage aspects of research projects including scope, resources, and schedule.
  • Comply with development processes, tools, and best practices within the R&D organization.
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